Why Are So Many Tech Companies Suddenly Building AI Hardware?

The AI industry is currently obsessed with hardware, but for different reasons. Startups like Lingverse are introducing wearable AI journals, while giants like OpenAI and Apple are reportedly developing their own next-generation home devices. At the same time, companies like Runway are building intelligent software routers that automatically choose the best AI model for a user's task—whether they prioritize speed, cost, or quality—to make these new devices more efficient. Underlying this rush are aggressive legal fights, including a major trade secrets lawsuit from Apple against OpenAI, and intense competition to find a product that consumers actually want to use.

Modern AI hardware relies on two main components: sensors and agents. The sensors—cameras and microphones—constantly monitor your environment to gather context, while the agents act as the brain. These agents are designed to perform actions on your behalf, like organizing your photos or answering questions based on your daily routine. Runway’s new routing technology acts as a traffic controller for these agents, directing your request to the specialized model that can best handle it. However, the mechanism is still prone to error; just as a human intern might misunderstand a task, these AI models often hallucinate, or confidently invent, incorrect information. Because hardware is much harder to fix than software, these devices must be highly reliable from the moment they are sold, or they risk becoming useless gadgets that users quickly abandon.

The industry is banking on the hope that if they build a new device, we will naturally embrace it as the successor to the smartphone. But history shows that technology adoption is driven by social utility, not just innovation. We adopted smartphones because they were more useful than the devices that came before them. These new AI devices are struggling to prove they can do anything better than the phone already in our pocket. As these companies burn through cash and fight legal battles over proprietary designs and data, they are ignoring a growing wall of public exhaustion. Consumers are increasingly wary of being constantly monitored by devices, and they are skeptical of any product that feels like it was built on a foundation of stolen work. Until these companies can offer something that truly solves a daily problem without feeling like an invasion, they face a long, expensive road toward relevance.